knowledge representation 中文意思是什麼

knowledge representation 解釋
知識表達
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  • representation : n 1 表示，表現，描畫，描寫；畫像，肖像；雕像，想像，想像力；【心理學】表象。2 上演，演出；扮演。3...
  1. In this thesis, it is indicated that the unified data model, knowledge representation and processing, and practicability and automaticity are three key points of any wi system

    本文指出數據模型、知識表示和處理、實用性和自動化處理能力是wi系統的關鍵問題。
  2. This article mainly contains following several contents : ( 1 ) analyzed the connotation and the tools of knowledge management as well as the combine - relation of e - government - affairs system, and proposed the system framework electronic government - affairs system based on the knowledge management ( km ) ; ( 2 ) some crucial technologies in knowledge management are studied : knowledge representation technology, knowledge discursion technology as well as data mining technology

    本文主要涉及以下幾個方面的內容: （ 1 ）分析了知識管理的內涵、工具以及與電子政務系統的結合關系，提出了基於知識管理（ knowledgemanagement ，簡稱km ）的電子政務系統的體系結構; （ 2 ）對知識管理中的幾個關鍵技術進行了研究:知識表達技術、知識推理技術以及數據挖掘技術。
  3. This thesis, with the characteristic of knowledge in diagnosing and forecasting, adopted a knowledge representation with tree - mode or reticulation which be fitted to inference engine

    本文針對診斷和預測知識本身的特點採用了一種適合推理機的樹狀和網狀的知識表示方法。
  4. Semantic nets ( sn ) has powerful capability of knowledge representation ( kr ), but there is no accepted formal description architecture of it38 - 39. this problem leads to different meanings of it and uncertainty of inference process

    語義網路有很強的表達知識的能力，但它沒有公認的形式化表示體系，存在歧義性和推理不確定性的問題。
  5. Object - oriented knowledge representation based on vc and vip

    的面向對象知識表示
  6. Object - oriented knowledge representation by using java applet

    建立面向對象的知識表達
  7. Par method can explain the whole process of " problem - program " as well as improve substantially the programming skills of students ; about the implement technology, the popular generic paradigm is incorporated and the results in ai ( knowledge representation and automated reasoning ) are used, which enables the system to be a truly " open system " with infinitely many problems and solutions, instead of just a compilation of fixed ones ; about the function of the system, it incarnates the constructivism and it has excellent human - machine interface, concurrence, and openness

    Par方法可以說清「問題程序」的全過程，可以解決現有程序設計教學存在的根本問題，幫助學習者實質性地提高程序設計的能力；在實現技術方面，借鑒了當代流行的泛型思想，並將人工智慧在知識表示、自動推理等研究中形成的思想方法和成果應用於程序設計icai系統的開發，使得系統具有一個既有問題又有解答的無限題庫，這些解答是由自動推理產生的而不再是固定問題、答案的堆砌；在系統功能方面，充分體現了建構主義思想，具有良好的人機交互性、並發性和開放性。
  8. Combining with knowledge representation and automatic reasoning principle of ai and generic paradigm, the system has these main functions : ? it is able to show different solutions of typical example ; ( 2 ) it can automatically generate problems similar to the example for students to solve by providing them with clues ; ( 3 ) these problems can be studied by demonstrating the complete solution process and answers with the help of automated reasoning, or by providing real - time prompts to students concurrent with the students " solution processes with the help of automated reasoning ; ? it provides exercises and is able to call a program produced by the group ( the translator ), which transfers apla programs to executable programs so as to verify its correctness ; ( 5 ) it let teacher to add examples in the database ; etc. hi the course of systematic research, we deeply investigated the relevant knowledge of the system and made some innovation : about teaching content, we select par method as the main content

    本系統選用薛錦雲教授的par方法為主要教學內容，應用人工智慧的知識表示和自動推理原理及泛型思想，使得系統具有以下核心功能：展示幾種典型例題的解；以泛型思想為指導，實現了無限題庫，可以自動生成與典型例題類似的問題給學生求解並給予提示；對于這些題目，計算機可以自動推理出由問題到程序的全過程供學生學習；也可通過自動推理根據用戶的實際做題情況實時給出提示，互動式地幫助學生學習演算法程序設計；學生可以從問題庫中獲得練習，並調用轉換器，將自己的apla程序轉化為可執行語言程序，運行以檢驗其正確性；對教師而言，可以對已有的實例庫、問題庫進行添加操作等。在系統的研製過程中，我們深入研究了系統的各方面相關知識，並進行了多方面的創新：在教學內容方面，首次選用par方法為主要內容。
  9. Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved

    與一般基於規則的專家系統相比，貝葉斯網專家系統利用先驗概率分佈，可以使推理在輸入數據不完備的基礎上進行；以網路的拓撲結構表達定性知識，以網路節點的概率分佈表達知識的不確定性，從而使不確定性知識的表達直觀、明確；利用貝葉斯法則的基本原理，可以實現由因到果及由果到因的雙向推理。
  10. Based on the study of software testing and expert system core technologies ( inference method and mechanism, explanation mechanism, knowledge acquirement, and knowledge representation ), the author developed the software exception analysis of expert system using visual prolog

    作者在研究軟體測試以及專家系統核心技術（推理方法與推理機制、解釋機制、知識獲取和知識表示等）的基礎上，採用visualprolog語言，完成了軟體錯誤分析專家系統的具體開發。
  11. 16 rendell d a, cui z, cohn a g. a spatial logic based on regions and connection. international conference on knowledge representation and reasoning, 1992, pp. 165 - 176. 17 fiadeiro jos e l. categories for software engineering

    進一步把帶類型範疇的概念推廣為類范疇，可以描述不完全和有缺陷的知識，以及不完全知識和有缺陷知識消除缺陷和完備化的過程。
  12. Formalization and knowledge representation for vehicle routing problems

    車輛路徑問題的形式化及其知識表示方法研究
  13. By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e

    Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。
  14. The challenge of programming a computer to mimic that process goes to the core of artificial intelligence, which involves the study of learning and decision - making, strategic thinking, knowledge representation, pattern recognition and perhaps most intriguingly, intuition

    要讓電腦模仿人那樣思考牽涉到人工智慧的核心技術，例如要教會電腦如何學習下結論戰略考慮知識再現模式識別，以及也許是最引人注目的技術直覺認知。
  15. In regard to the knowledge by learning, we present that the super - dimensional cube, which has the characteristic to integrate various knowledge representation conveniently, is used as the architecture of knowledge base. the speediness algorithm of knowledge access, the best matching cube selection algorithm, is discussed in this paper when the super - dimensional cube is used as the architecture of knowledge base. the time complexity of the algorithm is analyzed, and the parallel algorithm is discussed also

    在這篇文章中我們提出一種多智能體系統新的協商模型：基於「這是什麼」 （或「要做什麼」 ）學習機制的協商而不是常規的「怎麼做」模型；學習得到的知識，為了方便集成多種知識表示方法，我們運用高維方體的知識庫體系結構，在此基礎上進行快速訪問演算法的設計，分析了演算法的復雜度，並討論了演算法的并行實現；在模型中，我們還根據功能的需要與環境的需要，提出了智能體的三維模型。
  16. Then discusses common knowledge representation method such as predicate logic, semantic network, production rule, frame etc. and probes into the application of predicate logic in epr system

    然後，較詳細地討論了謂詞邏輯、語義網路、產生式規則和框架等常用的知識表示方法，重點研究了謂詞邏輯知識表示技術在電子病歷系統中應用問題。
  17. Application of object - attribute - value knowledge representation in the literature evaluation for application of clinical medical achievements

    法在臨床醫學科技查新中的應用研究
  18. Knowledge representation ; relational model ; intelligent tutor system ; its

    知識表示關系模式智能導師系統its
  19. The knowledge representation is a key aspect in the computer intelligent tutor system, which determines the effect of the inference process. moreover, it is necessity of the combination of the knowledge base with the teaching material base in its because it contains a lot of multimedia data

    在計算機智能導師系統its中，知識表示是一個關鍵問題。它是計算機智能教學的基礎，其結構決定了智能推理過程的有效性。
  20. We will also examine knowledge representation schemes for capturing biomedical domain complexity and principles of data modeling for efficient storage and retrieval

    我們也將檢視能涵蓋生物醫學領域復雜度的知識表現方案，以及能夠有效存取的資料模型。
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